jobapplier

Data Scientist - MID Profile - BN 12/11/26

MARGO

Skills

Required

  • Python
  • Jenkins
  • Object-Oriented Programming
  • Bash
  • automation
  • data handling
  • container interaction
  • LLMs Architecture
  • project portfolio
  • automated build
  • release pipelines
  • enterprise software design patterns

Preferred

  • industrialization
  • Agentic AI architectures
  • LLMs in
  • LLM
  • LLMs
  • LangGraph / Google ADK
  • FastAPI
  • DSPy
  • Kubernetes

A team responsible for the development and industrialization of applications for the Investment Banking division. Accelerating the integration of generative AI solutions and AI agents into business processes. A strategic environment within the platform, with high-impact use cases in document analysis, credit, and finance.

Responsibilities

  • Proven track record building asynchronous microservices and endpoints using FastAPI
  • Hands-on practice in

pytest

  • (unit, functional, and integration testing for ML/LLM pipelines).
  • Architecting multi-step, stateful agentic graphs using LangGraph or Google ADK
  • Hands-on experience optimizing LLM pipelines programmatically using DSPy
  • Practical knowledge of deploying and running high-throughput open-weight models on GPU infrastructure using runtimes such as vLLM (experience with CUDA and fine-tuning is a strong plus).
  • Experience setting up tracing, drift detection, and automated evaluations for generative workflows using tools like Phoenix Arize
  • Dedication to shipping stable, secure code into flagship banking infrastructure where compliance, auditability, and data security are non-negotiable.
  • General Stack: Google ADK, LangGraph, DSPy, vLLM, FastAPI, Python, Pytest. Arize Phoenix. Kubernetes, Jenkins, GPUs.
  • Design and develop LLM-based agentic solutions to automate complex business processes.
  • Work closely with business teams to identify needs and drive the adoption of AI solutions.
  • Develop data extraction pipelines and implement evaluation and observability frameworks for AI agents.
  • Deploy and industrialize models (LLMs, GPUs), ensuring quality through testing and DevOps best practices
  • You are taking full ownership in driving AI features.
  • You remember to respect the boundaries and non-deterministic nature of LLMs, communicate constraints clearly, and build robust safety rails.
  • You are a team player, communicate technical trade-offs cleanly with architects and business users, and enjoy mentoring peers.
  • You are testing ideas and PoCs quickly, validate feasibility with data and avoid technical debt.

Requirements

  • Strong Python with extensive experience in Object-Oriented Programming and enterprise software design patterns

Bash

  • scripts for automation, data handling, and container interaction.
  • LLMs Architecture understanding proven by project portfolio.
  • Hands-on familiarity with automated build, test, and release pipelines ( Jenkins)

Preferred

  • Build expertise in Agentic AI architectures and the industrialization of LLMs in production.
  • Work on high-visibility projects within the Investment Banking division.